Unified Security Tool Correlating User Behavior Across Contexts
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Solution Overview
Problem
Existing security measures for buildings, devices, and networks are often isolated, allowing malicious users to exploit vulnerabilities by behaving suspiciously but not enough to trigger alerts in each system, potentially leading to unauthorized access and damage.
Innovation Solution
A security tool that maintains user behavior profiles and hashes to detect deviations across different contexts, flagging and preventing access when behavior deviates significantly from expected norms, thereby enhancing security by considering holistic user behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple separate security measures are implemented in isolated contexts, then each security measure can independently detect and stop malicious users, but the overall security reliability decreases because a malicious user can exploit vulnerabilities by behaving suspiciously but not enough to trigger alerts in each individual system
Solution Approach 1:
The patent combines multiple separate security measures into a unified security system that correlates events across different security contexts. The system integrates building access control, network security, device authentication, and application access controls into a single correlated security framework that evaluates user behavior holistically rather than in isolated contexts.
Solution Approach 2:
The security system performs multiple functions through a single unified platform: it monitors building access, tracks network connections, authenticates devices, controls application access, and correlates all these events together. This multi-functional approach allows the system to detect suspicious patterns that span across different security domains that would be invisible to individual isolated security measures.
2Measurement precision
If a unified security system monitors user behavior across multiple contexts, then security detection capability improves by identifying patterns that span different security domains, but the complexity of the security system increases
Solution Approach 1:
The unified security system is segmented into distinct modular components: building access module, network security module, device authentication module, application access control module, and event correlation engine. Each module handles a specific security context independently but feeds into the central correlation engine, allowing the system to maintain high detection precision while managing complexity through modular architecture.
Solution Approach 2:
The event correlation engine serves as an intermediary that receives data from various security domains, normalizes the information, and performs holistic analysis. This intermediary layer abstracts the complexity of cross-domain correlation, enabling precise behavior detection without requiring direct integration between all security components.
3Ease of operation
If isolated security measures are used, then the ease of operation and maintenance is improved, but the overall security effectiveness deteriorates because malicious users can exploit gaps between separate security systems
Solution Approach 1:
The unified security system implements feedback loops where the event correlation engine continuously analyzes user behavior across all security contexts and provides real-time feedback to individual security controls. When suspicious patterns are detected in one domain, the system automatically adjusts security policies in related domains, creating a dynamic responsive security posture that improves effectiveness while maintaining operational simplicity through automated decision-making.
Data Source
AI summary
An apparatus includes a memory and a hardware processor. The memory stores a first profile and a first hash. The processor receives a first message indicating that the user has entered a building and updates the first profile to produce a second profile. The processor generates a second hash, calculates a first deviation between the second hash and the first hash, and determines that the first deviation is below a threshold. The processor receives a second message indicating that the user has requested access to a software application and updates the second profile to produce a third profile. The processor also generates a third hash, calculates a second deviation between the third hash and the first hash, determines that the second deviation is above the threshold, and in response, flags the user for increased security monitoring and denies the user access to the software application.